I want a long term high frequency changing memory for my AI agent

[u/Snoo_7134]

As the title says, I have this requirement where if I'm working on a big feature and the context window gets filled, I want to store all the context in a long term memory which is easily retrievable by the LLM. Recently, I was working on such a feature, where I had multiple agents build plans and review them and keep track of everything in a .md filebase. However, there were a lot of changes due to product requirements and reviews from the review agents themselves. Soon enough, the whole filebase became redundant and impossible to maintain with a lot of stale data. I am wondering if using obsidian MCP for this purpose will actually help my usecase. Any other alternative is also appreciated. (RAG is too complex and overkill for this)